When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...
CAMPBELL, Calif., Feb. 19, 2026 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management, today announces Komprise AI Preparation & Process Automation (KAPPA) data ...
In this exclusive Executive Q&A, Nasuni’s Nick Burling discusses how the proliferation of storage sprawl, backup duplication, ...
Globally, unstructured data represents 80% to 90% of the world’s digital information. By 2025, that volume is expected to reach 175 zettabytes. Unstructured data is everywhere—medical images, ...
NEW YORK, NY - February 11, 2026 - - SageX, an AI-native enterprise data platform, today announced its position as the ...
This is a significant departure from the traditional ETL world where a single vendor could extract and transform the structured or semi-structured data because the traditional ETL process is a linear ...
Let's start by examining those two broad-brush data categories: structured and unstructured. Structured data refers to the data resident within relational databases, often presented via customer ...
The Data Cloud has rightly been one of Salesforce’s biggest product focuses this year. As the company’s World Tour series of events hit New York yesterday, the latest news was that it will soon be ...
In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.
This article is published by AllBusiness.com, a partner of TIME. Structured data refers to highly organized and clearly defined information that is stored in a predefined format, making it easily ...
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